There are many, many resources, websites, mods, discord servers, and other links that people playing technical minecraft might find useful. This is an attempt at collecting and categorizing some of them.
Starring or bookmarking this gist may be useful :)

Contents:

• Specialized Resource Collections
• Learning/Informational Resources
• Educational Video Playlists

1. Какие есть способы сбора требований? Какие используешь?

• Способы сбора требований: Это техники, которые аналитик использует для выявления, сбора и документирования потребностей заинтересованных сторон. Основные способы:
  • Интервью (Interviews): Индивидуальные беседы со стейкхолдерами для глубокого понимания их потребностей, проблем и ожиданий. Могут быть структурированными, полуструктурированными или неструктурированными.
  • Семинары/Воркшопы (Workshops): Групповые сессии с участием ключевых стейкхолдеров для совместного определения, обсуждения и согласования требований. Эффективны для быстрого сбора и валидации требований от нескольких сторон.
  • Мозговой штурм (Brainstorming): Генерация идей в группе для решения проблем или определения новых возможностей. Полезен на ранних этапах для выявления высокоуровневых требований.
• Анализ документов (Document Analysis): Изучение существующей документации (бизнес-процессы, инструкции, ТЗ на старые системы, отчеты,

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.

So below I made a list of leetcode problems that are as close to grokking problems as possible.

• https://leetcode.com/problems/maximum-subarray/ # Close enough
• https://leetcode.com/problems/minimum-size-subarray-sum/